Aspects of modelling nonlinear time series

Timo Teräsvirta (), Dag Tjostheim and Clive W. J. Granger

Chapter 48 in Handbook of Econometrics, 1986, vol. 4, pp 2917-2957 from Elsevier

Abstract: This paper surveys some of the recent developments in nonlinear analysis of economic time series. The emphasis lies on stochastic models. Various classes of nonlinear models appearing in the economics and time series literature are presented and discussed. Linearity testing and estimation of nonlinear models, both parametric and nonparametric, are considered as well as post-estimation model evaluation. Data-based nonlinear model building is illustrated with an empirical example.

JEL-codes: C39 (search for similar items in EconPapers)
Date: 1986
View citations in EconPapers

Downloads: (external link)
http://www.sciencedirect.com/science/article/B7GX7 ... 4ced4d6a51460c32d54e
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: http://EconPapers.repec.org/RePEc:eee:ecochp:4-48

Access Statistics for this chapter

More chapters in Handbook of Econometrics from Elsevier
Series data maintained by Heidi Boesdal ().